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Remote Internship Data Engineering Jobs in Virginia

NAVA Software Solutions

Data Engineer - Remote

Richmond, VA · On-site +1

$113K - $136K/yr

Data Engineer Location: 100% Remote Duration: 12 months Required Qualifications: * 7+ Years Experience in the following: Python, Java, Scala, Spark, AirFlow, Javascript/TypeScript * 3+ Years ...

GRVTY

Data Engineer

Chantilly, VA · On-site +1

$117K - $140K/yr

What Impact You'll Have GRVTY's team provides tactical data engineering solutions. We embed skilled ... support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer)

GRVTY

Palantir Data Engineer

Chantilly, VA · On-site +1

$117K - $140K/yr

What Impact You'll Have GRVTY's team provides tactical data engineering solutions. We embed skilled ... support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer)

SAIC

AI Data Engineer

Fort Belvoir, VA · On-site +1

$160K - $200K/yr

Database Engr Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum Clearance ... TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking an AI Data ...

GRVTY

Data & Software Engineer

Mclean, VA · Remote

$115K - $139K/yr

What Impact You'll Have GRVTY's team provides tactical data engineering solutions. We embed skilled ... support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer)

GRVTY

Data Engineer

Chantilly, VA · On-site +1

$150K - $200K/yr

What Impact You'll Have GRVTY's team provides tactical data engineering solutions. We embed skilled ... support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer)

VivSoft Technologies LLC

Data Engineer

Herndon, VA · On-site +1

$117K - $141K/yr

Data Engineer Location: Remote, USA Clearance: Top-Secret Type: Full-time, W2About VivSoft We are a mission-driven technology company specializing in Cloud, DevSecOps, Artificial Intelligence, and ...

Sentara Healthcare

Data Engineer - Remote

Virginia Beach, VA · On-site +1

$108K - $130K/yr

Sentara is hiring a Data Engineer! This is a fully remote position. Work Location: Remote opportunities available in the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas ...

Ardent Eagle Solutions

Senior Data Engineer

Arlington, VA · On-site +1

$135K - $205K/yr

Design modern, code-first data engineering solutions utilizing Python SDKs, REST APIs, CLI tools ... Location and Work Hours * 100% Remote (United States) * Standard operating hours between 6:00 AM ...

Ardent Eagle Solutions

Senior Data Engineer

Arlington, VA · On-site +1

$135K - $205K/yr

Design modern, code-first data engineering solutions utilizing Python SDKs, REST APIs, CLI tools ... Location and Work Hours * 100% Remote (United States) * Standard operating hours between 6:00 AM ...

ICF

Data Engineer (Databricks)

Reston, VA · Remote

$119K - $143K/yr

This position is fully remote with up to 10% travel to the DC Metropolitan area for client meetings ... Databricks on Azure for data engineering and ML pipeline support. * SQL, Python, Spark, Tableau.

Axiom Path

Lead Data Engineer #3624301

Richmond, VA · Remote

$114K - $187K/yr

What's In Store For You This is a full-time, remote opportunity for candidates residing in approved ... Establish engineering standards for schema design, metadata, documentation, lineage, testing, and ...

Anika Systems

Data Engineer

Leesburg, VA · On-site +1

$115K - $139K/yr

This opportunity is 100% remote. The ideal candidate has hands-on experience with ETL/ELT pipelines ... CI/CD & DataOps Engineering * Design and implement CI/CD pipelines for data pipelines ...

GRVTY

Data & Software Engineer

Mclean, VA · On-site +1

$150K - $250K/yr

What Impact You'll Have GRVTY's team provides tactical data engineering solutions. We embed skilled ... support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer)

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All JobsData Engineering JobsRemote Internship Data Engineering JobsRemote Internship Data Engineering Jobs in Virginia

Remote Internship Data Engineering information

What is the difference between Remote Internship Data Engineering vs Remote Internship Data Analyst?

AspectRemote Internship Data EngineeringRemote Internship Data Analyst
Required SkillsSQL, Python, ETL, data pipeline developmentExcel, SQL, data visualization tools
Work EnvironmentCollaborative teams, cloud platforms, coding tasksData reporting, analysis, visualization
Industry UsageTech, finance, healthcareMarketing, retail, finance

Remote Internship Data Engineering focuses on building and maintaining data pipelines and infrastructure, requiring coding and technical skills. In contrast, Remote Internship Data Analyst emphasizes analyzing data, creating reports, and visualizations. Both roles often share similar credentials but differ in daily tasks and technical depth, making them distinct yet related internship opportunities in data careers.

What are the most commonly searched types of Remote Data Engineering jobs in Virginia? The most popular types of Remote Data Engineering jobs in Virginia are:
What are popular job titles related to Remote Internship Data Engineering jobs in Virginia? For Remote Internship Data Engineering jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Internship Data Engineering jobs in Virginia look for? The top searched job categories for Remote Internship Data Engineering jobs in Virginia are:
What cities in Virginia are hiring for Remote Internship Data Engineering jobs? Cities in Virginia with the most Remote Internship Data Engineering job openings:
Remote Internship Data Engineering jobs near you

Data Platform Engineer, AI & Personalization (Remote, East Coast)

P3Hired

Arlington, VA • On-site, Remote

$131K - $158K/yr

Full-time

Re-posted 17 days ago

Job description

Position Overview
Eagle Eye is an AI driven retail technology SaaS company powering personalized promotions and loyalty programs for leading global brands. In this role, you will sit at the heart of our platform building, optimizing, and supporting data systems that deliver high performance, real time personalization for enterprise clients.
As a Data Solutions Engineer, you will play a key role in deploying, operating, and continuously improving our data-driven platform for our clients.
You will work at the intersection of data engineering, system performance optimization, and client-facing technical operations, ensuring that our AI personalization solution runs reliably in production and delivers measurable value.
You will collaborate closely with Product Managers, Data Science, and Customer Success teams, and regularly interact with client technical teams.
The team "Personalized Challenges" is currently Europe-based and you will be the first North America based member. You will primarily communicate remotely with your direct team members in Europe but will also collaborate with our extensive team in North America who are based in Washington, DC, Toronto, Jacksonville and Chicago. Note that overall, Eagle Eye has a global presence, including North America, EMEA and APAC.
This is a United States based remote role with a preference for Eastern time zone candidates, open to applicants authorized to work without sponsorship.
Responsibilities
This role is intentionally a hybrid of responsibilities:
  • Hands-on Data Engineering - 60%
  • Continuous Optimization of Data-Driven Systems - 30%
  • Client-facing Technical Support & Ticket Resolution - 10%

Success in this role is measured by platform reliability, data quality, system performance, and the long-term resolution of production issues, rather than by volume of support tickets.
Platform Deployment & Data Integration
  • Integrate client data pipelines into our data stack
  • Deploy and configure our platform for new clients
  • Ensure data quality, consistency, and reliability across incoming and outgoing data flows
Production Support & Ticket Management
  • Investigate and resolve technical tickets related to data pipelines, system performance, and algorithm behavior
  • Act as a technical escalation point for Customer Success teams
  • Diagnose root causes, propose fixes, and ensure long-term prevention of recurring issues
Continuous Optimization & Performance Improvement
  • Analyze system and algorithm performance using metrics, logs, and experimentation
  • Identify opportunities to optimize data pipelines, processing logic, and algorithm configurations
  • Collaborate with Product and Data Science teams to prioritize and roll out improvements
  • Design and analyze A/B tests to measure the impact of changes

You Are
  • Disciplined problem-solver who enjoys digging into the "why" of system behavior to find long-term solutions.
  • An autonomous worker, ready to be the first North American member of the team while maintaining effective collaboration with European colleagues.
  • A clear, structured communicator capable of explaining complex technical issues to both engineers and non-technical stakeholders.
  • Rigorous and detail-oriented, especially when monitoring production systems and ensuring data integrity.
  • Comfortable navigating production incidents and support tickets with a calm, engineering-driven approach.
  • Curious and pragmatic, motivated by understanding real-world client use cases and optimizing system performance.
  • Comfortable working fully remotely: even if located near other team members, you will be remote from your direct colleagues based in France. You have proven experience thriving in a fully remote setup and collaborating across cultures.
  • Able to participate in a 1-2 week onboarding in Paris, offering dedicated time for in-person collaboration, learning, and team connection.
You Have
  • 3-5 years of experience as a Data Engineer or Data Solutions Engineer in a production-heavy environment.
  • A bachelors degree in Computer Science, Data Engineering, or a related field.
  • Deep hands-on experience with Python and/or Scala.
  • Proven expertise using Spark for large-scale data processing.
  • Practical experience building and managing data stacks within Google Cloud Platform (GCP) and BigQuery.
  • A solid foundation in data engineering principles, including data pipeline design and system optimization.
  • A working knowledge of Data Science and Machine Learning concepts to help bridge the gap between data flows and algorithm performance.

Department Technology Locations Arlington, VA Client Name Eagle Eye

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